2003-2005 - Special Collections - University of Baltimore
2003-2005 - Special Collections - University of Baltimore
2003-2005 - Special Collections - University of Baltimore
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ous models <strong>of</strong> negotiation and bargaining,<br />
highlighting similarities and differences in<br />
the models and methods <strong>of</strong> negotiation.<br />
Covers various stages <strong>of</strong> negotiation from<br />
pre-negotiation, ro negotiation proper, ro<br />
post-setrlemenr negotiation; and emphasizes<br />
rhe developmenr <strong>of</strong> skills through the<br />
use <strong>of</strong> role plays enabling rhe studenr ro<br />
apply theory ro cases.<br />
CNCM 515 Mediation: Theory and<br />
Practice (3) Introduces rhe theory and<br />
practice <strong>of</strong> mediation, and explores various<br />
models <strong>of</strong> rhe mediation process as well as<br />
diverging views concerning rhe role <strong>of</strong> the<br />
mediator. Key issues include: neurrality and<br />
bias on rhe parr <strong>of</strong> the mediator; confidentiality;<br />
codes <strong>of</strong> erhics for mediarors; and<br />
the current stams <strong>of</strong> legislation concerning<br />
the qualifications and licensing <strong>of</strong> mediators.<br />
Studenrs develop and practice mediation<br />
skills by acting as the mediaror in<br />
various scenarios that illustrate the process<br />
<strong>of</strong> mediation.<br />
CNCM 517 Arbitration: Theory and<br />
Practice (3) Introduces the theory and<br />
practice <strong>of</strong> arbitration, and explores rhe role<br />
<strong>of</strong> the arbirraror as an imparrial, third party<br />
whose task is ro "decide" issues berween<br />
parries ro a dispute. Focuses on arbirration<br />
in differenr conrexts, including collective<br />
bargaining and disputes berween managemenr<br />
and labor.<br />
CNCM 620 <strong>Special</strong> Topics (3) This<br />
course explores topics in rhe rhe field <strong>of</strong><br />
Negotiations and Conflict Management.<br />
The ropics vary according to rhe interest <strong>of</strong><br />
student and specialization <strong>of</strong> rhe faculty<br />
member. Prerequisites, ifany, to be determined<br />
by the instructor.<br />
CNCM 798 Capstone Course (3) The<br />
Capsrone Experience consists <strong>of</strong> rwo componenrs,<br />
a clinical experience and a reflective<br />
paper designed to inregrate theory and<br />
practice and to equip the studenr wirh a<br />
well-thought-our approach to future<br />
involvement and pr<strong>of</strong>essional practice in<br />
the field.<br />
Operations Research (OPRE)<br />
Operations Research courses are <strong>of</strong>fered by the<br />
Merrick School <strong>of</strong>Business.<br />
OPRE 504 Business Statistics (3)<br />
Statistical summary measures, probability,<br />
random variables, and their distributions.<br />
Estimation and hypothesis testing, correlation<br />
and regression analysis, ANOVA, and<br />
their applications to business problems are<br />
presenred. The use <strong>of</strong>statistical data analysis<br />
is an integral parr <strong>of</strong> rhis course.<br />
Prerequisite: Graduate standing.<br />
OPRE 640 Applied Management<br />
Science (3) Management science<br />
approaches in organizations, including<br />
modeling and rational approaches to decision<br />
making and their contriburion ro<br />
organizational effectiveness. Emphasizes<br />
analysis and communication using realworld<br />
application and cases. Topics<br />
include: linear programming and its extensions;<br />
integer programming; nerwork problems;<br />
and decision analysis as applied to<br />
tactical and srrategic business decisions in<br />
functional areas and inrerfaces among these<br />
areas. Prerequisites: prior or concurrent<br />
enrollment in M. B.A. core courses.<br />
OPRE 705 Decision Technologies:<br />
Deterministic Systems* (3) Deterministic<br />
systems and methods to improve rhe effectiveness<br />
<strong>of</strong> managerial decision making in<br />
both public and private organizations.<br />
Topics include optimization <strong>of</strong> linear, integer,<br />
nerwork and nonlinear systems,<br />
dynamic programming, and applications.<br />
Case studies and s<strong>of</strong>tware implementation<br />
<strong>of</strong> rhe models are emphasized. Data<br />
requirements, issues and problems in<br />
model development and implemenration,<br />
and the implications <strong>of</strong> model-based decision<br />
supporr systems are also discussed.<br />
Prerequisite: OPRE 640.<br />
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